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News/Operator-on-F complements value-equivalence: a planning-time diagnostic for latent world models
arxiv
PublishedJuly 16, 2026 at 4:00 AM
—neutral

Operator-on-F complements value-equivalence: a planning-time diagnostic for latent world models

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Publisher summary· verbatim

arXiv:2607.04464v2 Announce Type: replace-cross Abstract: World-model evaluation for model-based reinforcement learning typically asks whether the learned model predicts reward and value well, which can leave planning-relevant errors in the model's latent rollouts unmeasured. We introduce a compleme

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Discussion
Mentioned models
02
  • 01
    TD-MPC2
  • 02
    pure-SSL latent world model
Source
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arxiv
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Tags
03
#model-evaluation#reinforcement-learning#diagnostics

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Mentioned models
02
  • 01
    TD-MPC2
  • 02
    pure-SSL latent world model
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#model-evaluation#reinforcement-learning#diagnostics

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arxivWhen Generated Information Returns: Error Persistence in LLM-Mediated Information Ecosystems15harxivQuery-Driven Learning for Lifted Reasoning15harxivThe Social World Model Evaluation Gap15h
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